| [16] | Macular Microvascular Changes and Their Correlation With Peripheral Nonperfusion in Branch Retinal Vein Occlusion (G Ryu, D Park, J Lim, J van Hemert, M Sagong), In Am J Ophthalmol, volume 225, 2021.
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| [15] | Hemorrhage and/or Microaneurysm Severity and Count in Ultrawide Field Images and Early Treatment Diabetic Retinopathy Study Photography (PS Silva, H El-Rami, R Barham, A Gupta, A Fleming, J van Hemert, JD Cavallerano, JK Sun, LP Aiello), In Ophthalmology, volume 124, 2017.
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| [14] | Measuring the precise area of peripheral retinal non-perfusion using ultra-widefield imaging and its correlation with the ischaemic index (CS Tan, MC Chew, J van Hemert, MA Singer, D Bell, SR Sadda), In Br J Ophthalmol, volume 100, 2016.
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| [13] | Diabetic Retinopathy Severity and Peripheral Lesions Are Associated with Nonperfusion on Ultrawide Field Angiography (PS Silva, AJ Dela Cruz, MG Ledesma, J van Hemert, A Radwan, JD Cavallerano, LM Aiello, JK Sun, LP Aiello), In Ophthalmology, volume 122, 2015.
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| [12] | Assessment of Accuracy and Precision of Quantification of Ultra-Widefield Images (M Sagong, J van Hemert, LC Olmos de Koo, C Barnett, SR Sadda), In Ophthalmology, volume 122, 2015.
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| [11] | IMAGING OF THE EYE (J van Hemert, M Verhoek), US 20140327877, Patent Pending, 2014. (US 20140327877)
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| [10] | Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy (E Pellegrini, G Robertson, E Trucco, TJ MacGillivray, C Lupascu, J van Hemert, MC Williams, DE Newby, EJR van Beek, G Houston), In Biomed. Opt. Express, OSA, volume 5, 2014.
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| [9] | Superpixel Based Retinal Area Detection in SLO Images (MS Haleem, L Han, J van Hemert, B Li, A Fleming), In Computer Vision and Graphics (LJ Chmielewski, R Kozera, B-S Shin, KW Wojciechowski, eds.), Springer, volume 8671, 2014.
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| [8] | Quantification of Ultra-Widefield Retinal Images (DE Croft, CC Wykoff, DM Brown, J van Hemert, M Verhoek), In Retina Today, 2014.
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| [7] | Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography. (DE Croft, J van Hemert, CC Wykoff, D Clifton, M Verhoek, A Fleming, DM Brown), In Ophthalmic Surg Lasers Imaging Retina, volume 45, 2014.
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| [6] | Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams (K Zutis, E Trucco, JP Hubschman, D Reed, S Shah, J van Hemert), In Conf Proc IEEE Eng Med Biol Soc, 2013.
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| [5] | Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review (MS Haleem, L Han, J van Hemert, B Li), In Comput Med Imaging Graph, Elsevier Science, volume 37, 2013.
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| [4] | Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases (MS Haleem, L Han, B Li, A Nisbet, J van Hemert, M Verhoek), In Comp Graphics Imag (L Linsen, M Kampel, eds.), ACTA Press, volume 798, 2013.
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| [3] | An Open Source Toolkit for Medical Imaging De-Identification (D Rodr\'\iguez González, T Carpenter, J van Hemert, J Wardlaw), In European Radiology, volume 20, 2010.
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| [2] | Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns (J van Hemert, RA Baldock), In BioInformatics Research and Development (M Elloumi, \emphet al., eds.), Springer, volume 2, 2008.
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| [1] | Mining spatial gene expression data for association rules (J van Hemert, RA Baldock), In BioInformatics Research and Development (S Hochreiter, R Wagner, eds.), Springer, volume 4414, 2007.
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